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<td><b>Liang Du</b><a href="cv_Liang_Du_cn.pdf">[CV](In Chinese)</a></td> 
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<h4>Liang Du is an assistant researcher, worked wih the data mining group lead by Prof. <a href="http://lcs.ios.ac.cn/~ydshen/" target="_blank">Yi-Dong Shen</a> at the <a href="http://lcs.ios.ac.cn/" target="_blank">State Key Laboratory of Computer Science</a>, <a href="http://www.iscas.ac.cn/" target="_blank">Institute of Software</a>, <a href="http://www.ucas.ac.cn/" target="_blank">Chinese Academy of Sciences</a>, Beijing, China. </h4>

<h4>
Email: csliangdu [at] gmail.com, duliang [at] ios.ac.cn <br>
Address: 3rd Floor, Building 5, Software Park, No.4, South 4th Street, Zhongguancun, Haidian District, Beijing, China, 100190 
</h4>
<!--h4>
I am looking for highly self-motivated undergraduate students as research interns. Please email me with your CV.
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<h3><a href="#Interest">Interest</a> | <a href="#Education">Education</a> | <a href="#Experience">Work Experience</a> | <a href="#Publications">Publications</a> | <a href="#AcademicServices">Academic Services</a> | <a href="#Fundings">Fundings</a> | <a href="#Awards">Awards</a></h3>

<hr>
<h2> What's New </h2>
<ul>
<li> May 2015, we got 1 paper accepted by KDD 2015.
<li> Apr 2015, we got 3 papers accepted by IJCAI 2015.
</ul>

<hr>
<h2><a id=Interest> Research Interests </a></h2>
I have broader interests in <b>Data Mining, Machine Learning, Big Data Analysis</b>. I am particularly interested in the following topics:
<ul>
<li> Robust Clustering</li>
<li> Multi-source Integration and Clustering</li>
<li> Clustering Ensemble</li>
<li> Feature Selection</li>
<li> Active Learning</li>
<li> Document Summarization</li>
<li> Heterogeneous Metric Learning</li>
<li> Collaborative Filtering</li>
<li> Rank Aggregation</li>

<div id="htmltagcloud"> <span id="0" class="wrd tagcloud8"><a href="#tagcloud">clustering</a></span> <span id="1" class="wrd tagcloud0"><a href="#tagcloud">ensemble</a></span> <span id="2" class="wrd tagcloud5"><a href="#tagcloud">factorization</a></span> <span id="3" class="wrd tagcloud7"><a href="#tagcloud">feature</a></span> <span id="4" class="wrd tagcloud0"><a href="#tagcloud">heterogeneous</a></span> <span id="5" class="wrd tagcloud10"><a href="#tagcloud">learning</a></span> <span id="6" class="wrd tagcloud7"><a href="#tagcloud">matrix</a></span> <span id="7" class="wrd tagcloud0"><a href="#tagcloud">metric</a></span> <span id="8" class="wrd tagcloud0"><a href="#tagcloud">multiple</a></span> <span id="9" class="wrd tagcloud0"><a href="#tagcloud">nonnegative</a></span> <span id="10" class="wrd tagcloud0"><a href="#tagcloud">regularized</a></span> <span id="11" class="wrd tagcloud0"><a href="#tagcloud">retrieval</a></span> <span id="12" class="wrd tagcloud7"><a href="#tagcloud">robust</a></span> <span id="13" class="wrd tagcloud7"><a href="#tagcloud">selection</a></span> <span id="14" class="wrd tagcloud8"><a href="#tagcloud">unsupervised</a></span> </div>
</ul>


<hr>
<h2><a name=Education>Education</a></h2>
<ul>
<li>Sep. 2007 - Jun. 2013. Ph.D. in Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China</li>
<li>Sep. 2003 - Jun. 2007. B.Eng. in Software Engineering, Wuhan University, Wuhan, China.</li>
</ul>

<hr>
<h2><a name=Experience>Work Experience</a></h2>
<ul>
<li>Jul. 2014. - Present. Assistant Researcher, Institute of Software, Chinese Academy of Sciences, Beijing, China.</li>
<li>Jul. 2013 - Jul. 2014. Software Engineer, Alibaba Group, Beijing, China.</li>
<li>Sep. 2007 - Jun. 2013. Doctoral Research, Institute of Software, Chinese Academy of Sciences, Beijing, China.</li>
<li>Apr. 2010 - Apr. 2011. Research Intern, HP Lab China.</li>
</ul>

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<hr>
<h2><a id=Publications>Publications</a></h2>

<h3><b>Research Highlights: KDD(1), IJCAI(4), AAAI(1), ICDM(5), TKDE(1).</b></h3>

[<a HREF=https://scholar.google.com/citations?	user=YisD9wsAAAAJ&sortby=pubdate target=_blank>Google Scholar</a>]

<h3>Journal and Conference Papers (* indicates corresponding author)</h3>

<ol>
<h3><strong>2015</strong></h3>
<li><b>Liang Du</b> and Yi-Dong Shen. Unsupervised Feature Selection with Adaptive Structure Learning. in Proceedings of the 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (<b>KDD</b>), 2015, To appear. (Acceptance rate 159/819 = 19.41%). [<A HREF="http://arxiv.org/abs/1504.00736" target=_blank>pdf</A>][<A HREF="https://github.com/csliangdu/FSASL" target=_blank>codes</A>]</li>

<BR>
<li><b>Liang Du</b>, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan, Wenjian Wang, Yi-Dong Shen. Robust Multiple Kernel K-means Clustering using L21-norm. in Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (<b>IJCAI</b>), pages xxx-xxx, Buenos Aires, Argentinean, July 25-31, 2015. (Short talk, acceptance rate 575/1996 = 28.8%). [<A HREF="https://github.com/csliangdu/RMKKM/blob/master/tex_ijcai/rmkkm_ijcai15.pdf" target=_blank>pdf</A>][<A HREF="https://github.com/csliangdu/RMKKM" target=_blank>codes</A>]</li>

<BR>
<li>Peng Zhou, <b>Liang Du*</b>, Lei Shi, Hanmo Wang, Yi-Dong Shen. Recovery of Corrupted Multiple Kernels for Clustering. in Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (<b>IJCAI</b>), pages xxx-xxx, Buenos Aires, Argentinean, July 25-31, 2015. (Long talk, acceptance rate 575/1996 = 28.8%)</li>

<BR>
<li>Peng Zhou, <b>Liang Du*</b>, Hanmo Wang, Lei Shi, Yi-Dong Shen. Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization. in Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (<b>IJCAI</b>), pages xxx-xxx, Buenos Aires, Argentinean, July 25-31, 2015. (Long talk, acceptance rate 575/1996 = 28.8%)</li>

<BR>
<li>Peng Zhou, <b>Liang Du</b>, Mingyu Fan, and Yi-Dong Shen. An LLE based Heterogeneous Metric Learning for Cross-media Retrieval. In Proceedings of the Eleventh SIAM International Conference on Data Mining (<b>SDM</b>), pages x-x, Vancouver, British Columbia, Canda, April 30-May 2, 2015. (Oral paper, acceptance rate x/x = \%).</li>

<BR>
<li>Nannan Gu, Mingyu Fan, <b>Liang Du</b>, Dongchun Ren. Efficient Sequential Feature Selection Based on Adaptive Eigenspace Model. <b>Neurocomputing</b>, 2015, To appear.</li>

<BR>
<li>Hanmo Wang, <b>Liang Du</b> and Yi-Dong Shen. Convex Batch Mode Active Sampling via alpha-relative Pearson Divergence. The Twenty-Ninth AAAI Conference on Artificial Intelligence (<b>AAAI</b>), pages 3045-3051, Austin Texas, USA, January 25-29, 2015. (Acceptance rate 531/1991 = 26.67%).</li>

<h3><strong>2014</strong></h3>
<li>Liang Wu, <b>Liang Du</b>, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Yuanchun Zhou, Jianhui Li and Hui Xiong. Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval. The 14th IEEE International Conference on Data Mining (<b>ICDM</b>), pages xxx-xxx, Shenzhen, China, December 14-17, 2014. (Full paper, acceptance rate 71/727 = 9.7%).</li>

<BR>
<li>Lei Shi, <b>Liang Du</b> and Yi-Dong Shen. Robust Spectral Learning for Unsupervised Feature Selection. The 14th IEEE International Conference on Data Mining (<b>ICDM</b>), pages xxx-xxx, Shenzhen, China, December 14-17, 2014. [<A HREF="http://kingsleyshi.com/codes/RSFS.rar" target=_blank>codes</A>]</li>

<h3><strong>2013</strong></h3>
<li><b>Liang Du</b>, Zhiyong Shen, Xuan Li, Peng Zhou and Yi-Dong Shen. Local and Global Discriminative Learning for Unsupervised Feature Selection. The 13th IEEE International Conference on Data Mining (<b>ICDM</b>), pages 131-140, Dallas, TX, USA, December 7-10, 2013. (Full paper, acceptance rate 94/809 = 11.6%).</li>

<BR>
<li>Jun Deng, <b>Liang Du</b> and Yi-Dong Shen. Heterogeneous Metric Learning for Cross-Modal Multimedia Retrieval, The 14th International Conference on Web Information System Engineering (WISE), pages 43-56, Nanjing, China, October 13-15, 2013.</li>

<BR>
<li><b>Liang Du</b> and Yi-Dong Shen. Towards robust co-clustering. The 23rd International Joint Conference on Artificial Intelligence (<b>IJCAI</b>, pages 1317-1322, Beijing, China, August 3-9, 2013. (Oral paper, acceptance rate 195/1473=13.2%).</li>

<BR>
<li><b>Liang Du</b> and Yi-Dong Shen. Joint clustering and feature selection. The 14th International Conference on Web-Age Information Management (WAIM), pages 253-264, Beidaihe, China, June 14-16, 2013.</li>

<BR>
<li><b>Liang Du</b> and Yi-Dong Shen, Zhiyong Shen, Jianying Wang and Zhiwu Xu. A self-supervised framework for clustering ensemble. The 14th International Conference on Web-Age Information Management (WAIM), pages 253-264, Beidaihe, China, June 14-16, 2013.</li>

<BR>
<li>Xuan Li, <b>Liang Du</b> and Yi-Dong Shen. Update summarization via graph-based sentence ranking. IEEE Transactions on Knowledge and Data Engineering (<b>TKDE</b>), May 2013, vol.25, no.5, pages 1162-1174.</li>

<BR>
<li>Liang Wu, Alvin Chin, Guandong Xu, <b>Liang Du</b>, Xia Wang, Kangjian Meng, Yonggang Guo and Yuanchun Zhou. Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers. Database Systems for Advanced Applications (DASFAA), pages 401-415, Wuhan, China, April 22-25, 2013.</li>

<h3><strong>2012</strong></h3>
<li><b>Liang Du</b> Xuan Li and Yi-Dong Shen. Robust nonnegative matrix factorization via half-quadratic minimization. In Proceedings of IEEE 12th International Conference on Data Mining (<b>ICDM</b>), pages 201-210, Brussels, Belgium, December 10-13, 2012. (Full paper, acceptance rate 81/756=10.7%).</li>

<h3><strong>2011</strong></h3>
<li><b>Liang Du</b>, Xuan Li, and Yi-Dong Shen. User Graph Regularized Pairwise Matrix Factorization for Item Recommendation, in Proceedings of the 7th International Conference on Advanced Data Mining and Applications (ADMA), pages 372-385, Beijing, China, December 18-20, 2011.</li>

<BR>
<li><b>Liang Du</b>, Xuan Li, and Yi-Dong Shen. Cluster Ensembles via Weighted Graph Regularized Nonnegative Matrix Factorization, in Proceedings of the 7th International Conference on Advanced Data Mining and Applications (ADMA), pages 215-228, Beijing, China, December 18-20, 2011.</li>

<BR>
<li>Xuan Li, <b>Liang Du</b>, and Yi-Dong Shen. Graph-Based Marginal Ranking for Update Summarization, in Proceedings of the 11th SIAM International Conference on Data Mining (<b>SDM</b>), pages 486-497, Arizona, USA, April 28-30, 2011.</li>

<h3><strong>2010</strong></h3>
<li>Zhiyong Shen, <b>Liang Du</b>, Xukun Shen, and Yi-Dong Shen. Interval-valued Matrix Factorization with Applications, in  Proceedings of the 10th IEEE International Conference on Data Mining (<b>ICDM</b>), pages 1037-1042, Sydney, Australia, December 14-17, 2010.</li>

<BR>
<li>Xuan Li, Yi-Dong Shen, <b>Liang Du</b>, and Chen-Yan Xiong. Exploiting novelty, coverage and balance for topic-focused multi-document summarization, in Proceedings of the 19th ACM Conference on Information and Knowledge Management (<b>CIKM</b>), pages 1765-1768, Toronto, Canada, October 26-30, 2010.</li>

</ol>

<h3>PhD Thesis</h3>
<ul>
<li>Clustering with Robust Nonnegative Matrix Factorization, 2013. (In Chinese) [<A HREF=phd_thesis_liang_du.pdf target=_blank>pdf</A>][<A HREF=phd_slide_liang_du.pdf>slide</A>]
</li>
</ul>

<hr>
<h2><a name=Fundings>Research Fundings</a></h2>
<ul>
<li>PI. Research on Robust Feature Selection and Extraction for Big Data Analysis, Open project of State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences. 2015.1 - 2016.12.
<li>Project member. Research on the Representation, Measurement and Semantic Understanding for Big Web Data. 2014.1 - 2018.12, National Basic Research Program of China (973 Program).
</ul>

<hr>
<h2><a name=Awards>Selected Awards & Honors</a></h2>
<ul>
<li>Presidential Scholarship of the Chinese Academy of Sciences 2013.
<li>Outstanding graduate of Beijing, 2013.
<li>Outstanding graduate of University of Chinese Academy of Sciences, 2013.
<li>IEEE ICDM 2012 student travel award, 2012.
</ul>

<hr>
<h2><a name=AcademicServices>Academic Services</a></h2>

<h3>PC member</h3>
<li> The IEEE International Conference on Data Mining (ICDM) 2015.</li>
<li> The IEEE International Conference on Advanced and Trusted Computing (ATC) 2015.</li>

<h3>Reviewer</h3>
<li> IEEE Transactions on Knowledge and Data Engineering (TKDE).</li>
<li> Data Mining and Knowledge Discovery (DMKD). </li>
<li> Neurocomputing.</li>
<li> International Journal of Pattern Recognition and Artificial Intelligence.</li>

<h3>External Reviewer</h3>
<li> The ACM International Conference on Knowledge Discovery and Data Mining (KDD)
2010, 2013, 2015.</li>
<li> The International Joint Conference on Artificial Intelligence (IJCAI) 2011, 2015.</li>
<li> The AAAI Conference on Artificial Intelligence (AAAI) 2012, 2013.</li>
<li> The ACM Conference on Information and Knowledge Management (CIKM) 2011.</li>
<li> The International Semantic Web Conference (ISWC) 2010, 2011.</li>
<li> The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2011, 2012, 2013.</li>
<li> The Pacific Rim International Conferences on Artificial Intelligence (PRICAI) 2010, 2012, 2014.</li>
<li> The International Conference on Software Engineering and Knowledge Engineering
(SEKE) 2010, 2011.</li>


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